Evidence map›Paper›PMID 35808391›Full record

ArticleSensors (Basel, Switzerland)2022

A Comparison of a Novel Stretchable Smart Patch for Measuring Runner's Step Rates with Existing Measuring Technologies.

Nina Verdel, Miha Drobnič, Jan Maslik, Klara Björnander Rahimi, Giorgio Tantillo, Alessandro Gumiero, Klas Hjort, Hans-Christer Holmberg, Matej Supej

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Nina VerdelDepartment of Health Sciences, Mid Sweden University, 83125 Östersund, Sweden.
Miha DrobničFaculty of Sport, University of Ljubljana, 1000 Ljubljana, Slovenia.
Jan MaslikDepartment of Materials Science and Engineering, Uppsala University, 75121 Uppsala, Sweden.
Klara Björnander RahimiDepartment of Materials Science and Engineering, Uppsala University, 75121 Uppsala, Sweden.
Giorgio TantilloSTMicroelectronics, 20864 Agrate Brianza, Italy.
Alessandro GumieroSTMicroelectronics, 20864 Agrate Brianza, Italy.
Klas HjortDepartment of Materials Science and Engineering, Uppsala University, 75121 Uppsala, Sweden.
Hans-Christer HolmbergDepartment of Health Sciences, Luleå University of Technology, 97187 Lulea, Sweden.
Matej SupejDepartment of Health Sciences, Mid Sweden University, 83125 Östersund, Sweden.ORCID 0000-0002-7231-7002
University of Ljubljana · SIUppsala University · SESTMicroelectronics (Italy) · ITLuleå University of Technology · SE

Funding

European Union's Horizon 2020 research and innovation program 824984
6 · The paper itself

Abstract

A novel wearable smart patch can monitor various aspects of physical activity, including the dynamics of running, but like any new device developed for such applications, it must first be tested for validity. Here, we compare the step rate while running in place as measured by this smart patch to the corresponding values obtained utilizing ''gold standard'' MEMS accelerometers in combination with bilateral force plates equipped with HBM load cells, as well as the values provided by a three-dimensional motion capture system and the Garmin Dynamics Running Pod. The 15 healthy, physically active volunteers (age = 23 ± 3 years; body mass = 74 ± 17 kg, height = 176 ± 10 cm) completed three consecutive 20-s bouts of running in place, starting at low, followed by medium, and finally at high intensity, all self-chosen. Our major findings are that the rates of running in place provided by all four systems were valid, with the notable exception of the fast step rate as measured by the Garmin Running Pod. The lowest mean bias and LoA for these measurements at all rates were associated consistently with the smart patch.

Indexed as

RunningAdultExerciseExercise TestHumansMonitoring, PhysiologicYoung AdultbiomechanicscadenceSINTECsmart patchstride ratevaliditywearable sensor

Identifiers

PMID35808391
PMCPMC9269156
OpenAlexW4283730876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.